{"instruction": "You are an expert in event extraction. Please extract events from the input that conform to the schema definition. Return an empty list for events that do not exist, and return NAN for arguments that do not exist. If an argument has multiple values, please return a list. Respond in the format of a JSON string.", "schema": [{"event_type": "patch vulnerability", "trigger": true, "arguments": ["time", "vulnerability", "vulnerable system", "patch number", "supported platform", "issues addressed", "vulnerable system version"]}, {"event_type": "discover vulnerability", "trigger": true, "arguments": ["vulnerability", "vulnerable system owner", "time", "vulnerable system", "supported platform"]}, {"event_type": "data breach", "trigger": true, "arguments": ["number of data", "time", "tool", "compromised data", "place", "attacker", "purpose"]}, {"event_type": "ransom", "trigger": true, "arguments": ["price", "tool", "damage amount", "place", "time", "attacker", "victim"]}, {"event_type": "phishing", "trigger": true, "arguments": ["tool", "place", "trusted entity", "victim", "purpose", "damage amount", "attacker", "attack pattern", "time"]}], "input": "The scammer often poses as a friend - of - a-friend via email and contacts you directly ."}
{"patch vulnerability": [], "discover vulnerability": [], "data breach": [], "ransom": [], "phishing": [{"trigger": "poses as", "arguments": {"tool": "NAN", "place": "NAN", "trusted entity": "a friend - of - a-friend", "victim": "NAN", "purpose": "NAN", "damage amount": "NAN", "attacker": "The scammer", "attack pattern": "via email and contacts you directly", "time": "NAN"}}]}